自然崩落法一体化放矿优化控制与智能化管理系统研制

Research and Development of Integration System of Block Caving Ore Drawing Optimization Control and Intelligent Management

为实现新时期自然崩落法科学合理的放矿控制和管理,使用C++编程语言和hoops可视化工具包研制了自然崩落法一体化放矿优化控制和智能化管理系统。系统构建步骤如下:(1)分析自然崩落法放矿优化控制与智能化管理系统的业务需求,从而确定系统的软件需求;(2)提出该系统层次式平台+插件的软件体系结构,并采用程序插件作为系统的插件类型,设计了插件接口;(3)分析放矿过程涉及数据的特点,确定了自然崩落法放矿数据模型设计的基本要求和数据管理的方式,设计了系统的数据结构,选用SQLite数据库来存储和管理数据;(4)根据需求设计了系统的功能结构,开发了一套以矿岩流动模拟分析和资源模型数据为基础,以资源开采经济评价、放矿计划优化编制及放矿生产过程智能化管理为核心的集成化软硬件应用系统,实现了从数据流、业务流到管理流程的无缝衔接和高度集成。矿山应用实例表明,该系统可以满足自然崩落法矿山企业对放矿控制与智能化管理系统的实际需求,具有较好的应用前景。

In order to realize scientific and reasonable ore drawing control and management of block caving method in the new period,a new integration system of block caving ore drawing optimization control and intellgent management was developed by using C＋＋ programming language and hoops visual package.The system construction steps are as follows： ①Analyzed the business requirements of block caving ore drawing optimization control and intelligent management system, and determined the system software requirements. ②Proposed the software architecture of hierarchical platform and plug-in,the plug-in was used as the plug-in type of the system, and designed the plug-in interface. ③Analyzed the characteristics of the data which drawing process related to, determined the basic design requirements of drawing data model of block caving mine and data management mode, designed the data structure of the system, SQLite database was used to store and manage data. ④Functional structure of the system was designed according to the requirements, a set of software and hardware application system was developed, which based on the simulation analysis of mine rock flow and resource model data, and cored in economic evaluation of mineral resources exploitation,production scheduling optimization,and the intelligent management of the production process.The mine application example shows that the system can meet the demands of drawing control and intelligent management system of block caving mining enterprises, and has a good application prospects.